Introduction to Machine Learning: Class Notes 67577

2009-04-23Code Available0· sign in to hype

Amnon Shashua

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github.com/carsonzhu/Machine-learning-oriented
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Abstract

Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).

Tasks

BIG-bench Machine Learning Clustering PAC learning

Introduction to Machine Learning: Class Notes 67577

Code

Abstract

Tasks

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